Digital Workplace Engineer IV

I can be myself at work.

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day:
Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

You want to feel recognized r performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.

Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

Access on-demand professional development resources that allow you to hone existing skills and learn new ones

As a Digital Workplace Engineer IV focused on Enterprise Artificial Intelligence, you will serve as a senior technical leader responsible for designing, implementing, and governing how enterprise AI solutions connect to Capital Group's systems, data, and business processes. You will play a critical role in extending Microsoft Copilot Studio, Azure AI Foundry, and the broader Microsoft AI ecosystem through secure integrations with internal and third-party platforms.

You will provide technical leadership for enterprise AI connectivity patterns, including APIs, data connectors, retrieval architectures, Model Context Protocol (MCP) integrations, external knowledge sources, workflow automation, and agent-to-agent interactions. You will help establish reusable engineering foundations that enable product teams and business partners to safely accelerate AI adoption across the firm.

In this role, you will partner closely with application development teams, product teams, architecture, information security, legal, compliance, privacy, and data teams to deliver sophisticated agentic solutions that address real business challenges while adhering to enterprise governance standards. You will serve as a subject matter expert and trusted advisor for teams seeking to leverage artificial intelligence, helping them navigate technical complexity, evaluate architecture options, and implement scalable patterns.

As a senior engineer, you will lead the most complex implementations, contribute to technology strategy and roadmaps, mentor other engineers, and help shape the future of Capital Group's enterprise AI ecosystem.

• You bring extensive experience designing and implementing enterprise technology solutions in complex and highly regulated environments.
• You have deep expertise with Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Power Platform, Microsoft Graph, and related Microsoft cloud technologies.
• You possess strong experience integrating enterprise platforms with internal and third-party applications through APIs, connectors, web services, event architectures, and emerging standards such as Model Context Protocol (MCP).
• You have experience architecting and delivering custom AI agents, orchestrations, copilots, workflow automations, and retrieval-based solutions that leverage enterprise knowledge and data.
• You understand grounding strategies, retrieval architectures, vector-based knowledge systems, prompt engineering, evaluation frameworks, and responsible AI practices.
• You have experience partnering with application teams to translate business requirements into scalable AI-enabled solutions.
• You have experience partnering with application teams to translate business requirements into scalable AI-enabled solutions.
• You have demonstrated success working with Information Security, Legal, Privacy, Risk, and Compliance teams to implement enterprise capabilities that satisfy governance and regulatory requirements.
• You can lead technical discussions across organizational boundaries and effectively communicate complex concepts to both technical and business stakeholders.
• You enjoy mentoring engineers and helping teams adopt engineering best practices, reusable architectures, and…